Mean motion field in East Africa at the level of the East African low level jet core

Anyamba, E. K.; Kiangi, P. M. R.

doi:10.1007/bf02269455

Cited by 10 publications

(7 citation statements)

References 16 publications

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“…According to small-scale monthly maps presented by Findlater (1971) the axis of the East African low level jet enters land approximately over Malindi from June to September. This is confirmed by vertical cross-sections of horizontal wind speed shown by Anyamba and Kiangi (1985). Another distinction between the northern and southern coastal region is the proximity to elevated inland areas.…”

Section: Possible Physicul Cai~sessupporting

confidence: 57%

Reginalization of daily rainfall in Kenya by means of common factor analysis

Bärring

1988

J. Climatol.

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Daily rainfall data from 73 stations distributed throughout Kenya were subjected to maximum likelihood factor analysis. Data for the period January 1971 to December 1985 were used. A brief analysis of data quality and representativity and the problem of missing data are included. The data were transformed by natural logarithms. Scree and LEV plots together with the Kendall/North criterion for eigenvaluc separation indicated break points at 5, 1 I and 15 factors. The 1 I-factor model was judged as being the most parsimonious, for both statistical and climatological reasons. It explained 38 per cent of the total variance.The general fcatures of the regionalization are found to be reasonably consistent with other studies. The major regions (the coast, the Highlands, the Lake Victoria area. and the dry northern/eastern areas) appear in this regionalization but are divided into several subregions. It can be concluded that this subdivision is partly linked to physiographical regions and orographic influence. In addition, possible links to regional circulation patterns are discussed.

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Section: Possible Physicul Cai~sessupporting

confidence: 57%

Reginalization of daily rainfall in Kenya by means of common factor analysis

Bärring

1988

J. Climatol.

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“…This is evident along the southern transect, where May is even the wettest month at high‐altitude stations (Figure ). This pattern results from cold and dry air advection in the lower troposphere capped by an inversion layer typical of the northern summer season (Anyamba and Kiangi, ), which makes convection only possible as a result of orographic ascent along the steepest, mid‐ to high‐elevation slopes. The net result is a slightly shorter northern summer dry season in the mid and upper slopes than in the lower ones.…”

Section: Resultsmentioning

confidence: 99%

Climatic gradients along the windward slopes of Mount Kenya and their implication for crop risks. Part 1: climate variability

Camberlin

Boyard-Micheau

Philippon

et al. 2012

Intl Journal of Climatology

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“…8). Flohn (1965) and Anyamba & Kiangi (1985) have shown that the corresponding monsoon flows are strongly divergent over East Africa, especially in the low-level plains to the east. However, in the Western Kenya Highlands and around Lake Victoria, mesoscale wind systems develop (Asnani 1993, Mukabana & Pielke 1996.…”

Section: Predictorsmentioning

confidence: 99%

Influence of topography on monthly rainfall distribution over East Africa

Oettli¹,

Camberlin²

2005

Clim. Res.

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Statistical models were defined for explaining the spatial distribution of rainfall in eastern Africa (southern Kenya and NE Tanzania) on the basis of various topographical descriptors. The procedure is first presented for the month of April, and subsequently month-to-month changes in the role of topography on rainfall distribution are discussed. Predictors included quantitative estimates of slope, mean and standard deviation of elevation, and principal components that describe the topographical environments around the meteorological stations. Different window sizes were considered in order to account for processes of different scales. Linear models were defined for each mean monthly rainfall field, and cross-validated. Inclusion of interpolated residuals yield explained variances in the range of 53 to 89%. Results were compared to a simple interpolation of gauge rainfall. The models are particularly useful in areas with few rain gauges. Selected predictors, as well as their scales, change seasonally. North-south exposure contrasts are the main factor of rainfall variation, except in the northern summer. East-facing stations are wetter in the short rains season (October to December), and drier in the monsoon season. These variations coincide with seasonal atmospheric circulation changes above the region. Slopes also contribute to rainfall variability. At the scale of the study mean elevation had little effect; other predictors, especially exposure, actually describe the interaction between rainfall and topography more adequately.

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Mean motion field in East Africa at the level of the East African low level jet core

Cited by 10 publications

References 16 publications

Reginalization of daily rainfall in Kenya by means of common factor analysis

Reginalization of daily rainfall in Kenya by means of common factor analysis

Climatic gradients along the windward slopes of Mount Kenya and their implication for crop risks. Part 1: climate variability

Influence of topography on monthly rainfall distribution over East Africa

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